Another Day, Another Deepdream Popular Science

What it creates are uncanny scenes of long-legged slug-monsters, wobbly towers, and flying limbs that look like a Salvador Dalí painting on steroids. A web app called Dreamscope developed by Lambda Labs allows users to upload an image and apply different filters, including ones inspired by the computerized nightmares “dreamed” up by Google’s artificial neural networks. There are 15 filters to choose from when an image is uploaded https://www.metadialog.com/ to Dreamscope, and an additional three “exclusive” filters become options if users create a free account. The basic filters, which include, “Inceptionist Painting,” “Self Transforming Machine Elves,” and “Trippy,” alter the image in the most classic DeepDream fashion by adding objects such as swirls, slug limbs, and dog faces to the pictures. The other filters, including the exclusive ones, are more mild, but still entertaining.

• The loss is normalized at each layer so the contribution from larger layers does not outweigh smaller layers.
• The image is then modified to increase these activations, enhancing the patterns seen by the network, and resulting in a dream-like image.
• Once the source code was released, developers began to use the code in a variety of ways.
• The program learns how to do this after it is shown a ton of different pictures of one object so that it knows what that object looks like.

In this article we’re going to cover an incredible deep learning algorithm called DeepDream that can be used to generate hallucinogenic, dream-like artwork. Play around with the number of octaves, octave scale, and activated layers to change how your DeepDream-ed image looks. YouTuber Pouff turns an otherwise mundane footage of a grocery run into a mind-melting collage of animals. He used samim23’s Deep Dream Animator, which applies Google’s photo manipulating software to videos. We’re using the #deepdream technique developed by Google, first explained in the Google Research blog post about Neural Network art. Last week hundreds of people morphed images of their own using Zain Shah’s implementation of the DeepDream image generator.

DeepDream Animator Creates A Nightmarish Music Video

This will allow patterns generated at smaller scales to be incorporated into patterns at higher scales and filled in with additional detail. For this step, we’re going to deepdream animator rely on the loss that was calculated in the previous step. We then calculate the gradient with respect to the given input image, and then we add it to the original image.

Google teaches the program how to do this by showing it tons of pictures of an object so that it knows what that object looks like. For example, after looking at thousands of pictures of a dumbbell, the program would understand a dumbbell to be a metallic cylinder with two large spheres at both ends. However, as we found out last month, when the program is used to “dream up” these images of its own, it can get things very wrong.

Choose an image to dream-ify

Google’s DeepDream code is a part of their artificial neural networks, which Google Images uses to sort and categorize images online. After sifting through thousands of tagged photos, the program begins to learn what things are. Google also found that when the software is given the task of generating its own images from what it has learned, it gets confused and creates strange chimeras such as dumbbells with arms and slug dogs.